Data examine report for Cabin, 2022
2023-03-14
1 Heatmap plot
Below shows a heatmap for the hourly rain Campbell data.
Below shows a heatmap for the hourly rain HoBo data.
2 Daily rain data
This table shows the data for goodness-of-fit evaluation, location
Cabin, year 2022.
Time span for the data is 2022-04-01 to 2022-09-30.
3 GOF evaluation between Compbell and Hobo
Goodness-of-fit evaluation starts on 2022-07-01, ends on 2022-10-01. Please see the table below for all indicators.
GOF indicators explanation Table (click to unfold)
| Indicator name | Meaning |
|---|---|
| me | Mean Error |
| mae | Mean Absolute Error |
| rmse | Root Mean Square Error |
| nrmse | Normalized Root Mean Square Error |
| PBIAS | Percent Bias |
| pbiasfdc | PBIAS in the slope of the midsegment of the Flow Duration Curve |
| RSR | Ratio of RMSE to the Standard Deviation of the Observations, RSR = rms / sd(obs). ( 0 <= RSR <= +Inf ) |
| rSD | Ratio of Standard Deviations, rSD = sd(sim) / sd(obs) |
| NSE | Nash-Sutcliffe Efficiency ( -Inf <= NSE <= 1 ) |
| mNSE | Modified Nash-Sutcliffe Efficiency |
| rNSE | Relative Nash-Sutcliffe Efficiency |
| d | Index of Agreement ( 0 <= d <= 1 ) |
| md | Modified Index of Agreement |
| rd | Relative Index of Agreement |
| cp | Persistence Index ( 0 <= PI <= 1 ) |
| r | Pearson product-moment correlation coefficient ( -1 <= r <= 1 ) |
| r.Spearman | Spearman Correlation coefficient ( -1 <= r.Spearman <= 1 ) |
| R2 | Coefficient of Determination ( 0 <= R2 <= 1 ). Gives the proportion of the variance of one variable that is predictable from the other variable |
| bR2 | R2 multiplied by the coefficient of the regression line between sim and obs ( 0 <= bR2 <= 1 ) |
| KGE | Kling-Gupta efficiency between sim and obs ( 0 <= KGE <= 1 ) |
| VE | Volumetric efficiency between sim and obs( -Inf <= VE <= 1) |
4 Rain and Air Temperature
This plot displays the hourly air temperature and rainfall data for both Campbell and Hobo datatype. The corresponding hourly data is also provided in the table below.
This plot displays hourly rainfall data (in mm). Any missing data in the ‘forReview’ Excel table are indicated as -1 in this plot. However, in the data table below, missing values are still denoted as -99.
Now the data for CDF plot App is also generated. Please run
App.Rto see the CDF plot.